Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
First, bivariate model was fitted for each independent variable and dependent variable.
15 The bivariate model was fitted with a generalised linear mixed model approach to the bivariate meta-analysis of sensitivity and specificity.
Similar(58)
Additional bivariate models were fitted to adjust for univariate models with retrospective documentation.
Univariate and bivariate models were fitted with ASReml (Gilmour et al. 2001).
The bivariate models were fitted with the unadjusted predictors of age, period and cohort, respectively.
As such, a bivariate correlated factors model was fitted to the data (see Fig. 1).
Since information about the NAT2 genotypes of participants was not available, a bivariate normal mixture model was fitted to the distribution of the half-lives to estimate the proportion of acetylator phenotypes from the data.
Bivariate Cox-proportional hazards model was fitted for all explanatory variables.
Finally, a logistic regression model was fitted with social self-disclosure as outcome and the predictors that were associated in the bivariate analysis with a p-value < 0.05 and gender as covariates.
First, the basic Bernoulli regression model was fitted to the observed data: logit PCVAD = 1) = β0 + s x, y), where s refers to the smooth bivariate function of x and y coordinates.
A bivariate, multivariable logistic regression model was fit, and statistical significance was determined with a 95%% confidence level.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com